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Toplam kayıt 14, listelenen: 1-10
What a single electroencephalographic (EEG) channel can tell us about patients with dementia due to Alzheimer's disease
(Elsevier B.V., 2022)
Abnormalities in cortical sources of resting-state eyes-closed electroencephalographic (rsEEG) rhythms recorded by hospital settings (10–20 electrode montage) with 19 scalp electrodes provide useful markers of neurophysiological ...
Are there consistent abnormalities in event-related EEG oscillations in patients with Alzheimer's disease compared to other diseases belonging to dementia?
(John Wiley and Sons Inc, 2022)
Cerebrospinal and structural-molecular neuroimaging in-vivo biomarkers are recommended for diagnostic purposes in Alzheimer’s disease (AD) and other dementias; however, they do not explain the effects of AD neuropathology ...
Telling functional networks apart using ranked network features stability
(NLM (Medline), 2022)
Over the past few years, it has become standard to describe brain anatomical and functional organisation in terms of complex networks, wherein single brain regions or modules and their connections are respectively identified ...
Enhancing memory capacity by experimentally slowing theta frequency oscillations using combined EEG-tACS
(Nature Portfolio, 2022)
he coupling of gamma oscillation (similar to 40+ Hz) amplitude to the phase of ongoing theta (similar to 6 Hz) oscillations has been proposed to be directly relevant for memory performance. Current theories suggest that ...
DLPF targeted repetitive transcranial magnetic stimulation improves brain glucose metabolism along with the clinical and electrophysiological parameters in CBD patients
(Bentham Science Publishers, 2022)
Background: Corticobasal Degeneration (CBD) is a rare neurological disease caused by the pathological accumulation of tau protein. The primary pathological features of CBD include progressive neurodegenerative processes ...
Classification of Parkinson's disease with dementia using phase locking factor of event-related oscillations to visual and auditory stimuli
(IOP Publishing Ltd, 2023)
Objective. In the last decades, machine learning approaches have been widely used to distinguish Parkinson’s disease (PD) and many other neuropsychiatric diseases. They also speed up the clinicians and facilitate decision-making ...
Reduced power and phase-locking values were accompanied by thalamus, putamen, and hippocampus atrophy in Parkinson's disease with mild cognitive impairment: An event-related oscillation study
(Elsevier Inc., 2023)
Parkinson's disease (PD) is a multifaceted neurodegenerative disorder accompanied by mild cognitive impairment (MCI) as a crucial nonmotor manifestation. Event-related oscillations (EROs) are suggested to reflect cognitive ...
Oscillatory delta and theta frequencies differentially support multiple items encoding to optimize memory performance during the digit span task
(Academic Press Inc., 2022)
The human brain has limited storage capacity often challenging the encoding and recall of a long series of multiple items. Different encoding strategies are therefore employed to optimize performance in memory processes ...
Alterations of resting-state Gamma frequency characteristics in aging and Alzheimer's disease
(Springer, 2023)
Alzheimer's disease (AD) is an important brain disease associated with aging. It involves various functional and structural changes which alter the EEG characteristics. Although numerous studies have found changes in delta, ...
Abnormal cross frequency coupling of brain electroencephalographic oscillations related to visual oddball task in parkinson's disease with mild cognitive impairment
(SAGE Publications Inc., 2023)
Parkinson's disease (PD) is a movement disorder caused by degeneration in dopaminergic neurons. During the disease course, most of PD patients develop mild cognitive impairment (PDMCI) and dementia, especially affecting ...